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Author

S. Arias

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Preprint Oct 2026

Sequential Conditional Independence Testing with Machine Learning Models

Conditional independence testing is a ubiquitous problem in scientific discovery. The widely employed model-X assumption shifts the modelling burden from the dependence of the output on the inputs to the dependencies within the inputs. Log-optimal e-variables have been studied in this setting, but it remains unclear ho...

Angel Reyero-Lobo, Michele Meziu, S. Arias et al. · 0 citations

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